Sleep Apnea Syndrome (SAS) is a multimorbid chronic disease with individual and societal deleterious consequences. Polysomnography (PSG) is the multi-parametric reference diagnostic tool that allows a manual quantification of the apnea-hypopnea index (AHI) to assess SAS severity. The burden of SAS is affecting nearly one billion people worldwide explaining that SAS remains largely under-diagnosed and undertreated. The development of an easy to use and automatic solution for early detection and screening of SAS is highly desirable.
We proposed an Accelerometry-Derived Respiratory index (ADR) solution based on a dual accelerometry system for airflow estimation included in a machine learning process. It calculated the AHI thanks to a RUSBoosted Tree model and used physiological and explanatory specifically developed features. The performances of this method were evaluated against a configuration using gold-standard PSG signals on a database of 28 subjects.
The AHI estimation accuracy, specificity and sensitivity of the ADR index were 89%, 100% and 80% respectively. The added value of the specifically developed features was also demonstrated.
Overnight physiological monitoring with the proposed ADR solution using a machine learning approach provided a clinically relevant estimate of AHI for SAS screening. The physiological component of the solution has a real interest for improving performance and facilitating physician's adhesion to an automatic AHI estimation.
Overnight physiological monitoring with the proposed ADR solution using a machine learning approach provided a clinically relevant estimate of AHI for SAS screening. The physiological component of the solution has a real interest for improving performance and facilitating physician's adhesion to an automatic AHI estimation.Childbirth is a transcendent life experience but may also be a moment of great vulnerability, especially when it occurs outside the mother's country of origin.
To explore the perceptions and experiences of Spanish-speaking immigrant women regarding the healthcare they received during labour and childbirth in Santiago, Chile.
This qualitative, transcendental phenomenological research was performed at two maternity hospitals using purposive criterion sampling. Eighteen individual and two group interviews were conducted. The resulting information was transcribed and then coded and categorised using phenomenological analysis.
Six categories were extracted from the narratives which reflect a pragmatic relationship with the healthcare team that included a perception of 'justified' lack of care. The mothers' exercise of autonomy was subjugated by power-knowledge relations between the women and caregiver that compelled them to refrain from expressing their needs and preferences out of fear of abuse. The women reflect a need for a stronger focus on empowerment with an emphasis on gender and rights.The Quality Ratio (QR) index was applied in Sepetiba Bay to integrate geochemical and microbiological parameters of the in situ microbial community in order to classify the ecological risk of sediments. Total concentrations (C) of Hg, Cd, As, Pb, Cr, Cu and Zn (indicators of the mixture of contaminants) were determined at 26 stations and at a background area (C0) to calculate the contamination factor (CF = C/C0) and the degree of contamination (ΣCF). Enzymatic biomarkers of energy production into cell (dehydrogenase - DHA) and hydrolase of organic matter outside the cell (esterases - EST) were determined. The QR, a function of the microbial term (DHA/EST) and the geochemical term (TOC × ΣCF/fine-grained content), was able to segregate stations into the internal sector (east of the bay with the largest continental contributions) and the external sector (west of the bay), proving its accessibility (low-cost and fast) and efficiency for assessing ecological risk.The use of Unmanned Aerial Systems (UAS, aka drones) images for mapping macro-litter in the environment have been exponentially increasing in the recent years. In this work, we developed a multi-class Neural Network (NN) to automatically identify stranded plastic litter categories on an UAS-derived orthophoto. https://www.selleckchem.com/products/Fludarabine(Fludara).html The best results were assessed for items that did not have substantial intra-class colour variability, such as octopus pots and fishing ropes (F-score = 61%, on average). Instead, performance was poor (37%) for plastic bottles and fragments, due to their changing intra-class colours. On average, the performance improved 24% when the binary detection (litter/non-litter, F-Score = 73%) was considered, however this approach did not discriminate the litter categories. This work gives a new perspective for the automated litter detection on drone images, suggesting that colour-based approach can be used to improve the categorization of stranded litter on UAS orthophoto.Relapsing-remitting multiple sclerosis (RRMS) is an autoimmune disorder of the central nervous system. Dimethyl Fumarate is a disease-modifying medication used to treat RRMS patients that can induce lymphopenia. We aimed to immunophenotype peripheral blood mononuclear cells (PBMC) in RRMS patients cross-sectionally and examine the characteristics and modifications of lymphopenia over time.
Characterization of PBMC was done by multiparametric flow cytometry. Patients had been on treatment for up to 4 years and were grouped into lymphopenic (DMF-L) and non-lymphopenic (DMF-N) patients.
Lymphopenia affected the cell population changes over time, with other patient characteristics (gender, age, and previous treatment status) also having significant effects. In both lymphopenic and non-lymphopenic patients, PBMC percentages were reduced over time. While overall T and B cells frequencies were not affected, males, older patients and untreated patients had significant changes in B cell subpopulations over time.he immune profile of patients.
Our data provide evidence that under the same therapy, lymphopenia affects how the immunophenotype changes over time and can override the differences associated with other patient characteristics and possibly mask other significant changes in the immune profile of patients.